系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (8): 2244-2253.doi: 10.12305/j.issn.1001-506X.2021.08.26
谢春思1, 刘志赢2,3, 桑雨2,4
收稿日期:
2020-09-16
出版日期:
2021-07-23
发布日期:
2021-08-05
作者简介:
谢春思(1966—), 男, 副教授, 硕士研究生导师, 博士, 主要研究方向为导弹武器系统工程|刘志赢(1995—), 男, 硕士研究生, 主要研究方向为舰载武器装备分析与仿真|桑雨(1996—), 男, 硕士研究生, 主要研究方向为导弹的航路规划
基金资助:
Chunsi XIE1, Zhiying LIU2,3, Yu SANG2,4
Received:
2020-09-16
Online:
2021-07-23
Published:
2021-08-05
摘要:
针对传统基于前视模板的匹配算法中难以直接识别与跟踪建筑等目标的问题, 提出基于特征匹配的对陆导弹目标识别模型。该模型通过对末制导导引头图像预处理, 利用改进YOLOv3深度学习目标检测算法和改进Deeplabv3+深度学习语义分割算法来识别目标区和烟雾区, 采用并行法排除烟雾遮挡对目标识别的干扰, 最终判别分析规则判断模型是否识别成功。仿真实验结果表明,该模型能够快速有效精确地完成对陆地目标的识别, 兼具较好的抗烟雾干扰能力, 有利于提高对陆导弹的目标识别水平与作战效果。
中图分类号:
谢春思, 刘志赢, 桑雨. 基于特征匹配的舰载对陆导弹目标识别模型[J]. 系统工程与电子技术, 2021, 43(8): 2244-2253.
Chunsi XIE, Zhiying LIU, Yu SANG. Target recognition model of ship-to-land missile based on feature matching[J]. Systems Engineering and Electronics, 2021, 43(8): 2244-2253.
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